Aspiring digital businesses need overall IT agility, not just development team agility. In Agile IT Organization Design , IT management consultant and ThoughtWorks veteran Sriram Narayan shows how to infuse agility throughout your organization. Drawing on more than fifteen years’ experience working with enterprise clients in IT-intensive industries, he introduces an agile approach to “Business–IT Effectiveness” that is as practical as it is valuable.
The author shows how structural, political, operational, and cultural facets of organization design influence overall IT agility—and how you can promote better collaboration across diverse functions, from sales and marketing to product development, and engineering to IT operations. Through real examples, he helps you evaluate and improve organization designs that enhance autonomy, mastery, and purpose: the key ingredients for a highly motivated workforce.
You’ll find “close range” coverage of team design, accountability, alignment, project finance, tooling, metrics, organizational norms, communication, and culture. For each, you’ll gain a deeper understanding of where your organization stands, and clear direction for making improvements. Ready to optimize the performance of your IT organization or digital business? Here are practical solutions for the long term, and for right now.
Sriram Narayan, an IT management consultant with ThoughtWorks, has provided IT agility guidance to clients in telecom, financial services, energy, retail, and Internet businesses. He has also served as a leadership coach and a director of innovation. He was a founding member of the ThoughtWorks technology advisory board–the group that now authors Technology Radar. During a two-year stint at the products division of ThoughtWorks, he helped with product innovation and advocacy on Go–a tool that helps with continuous delivery. He has also worn the hats of a developer, open-source contributor, manager, product owner, tester, SOA architect, trainer, and Agile coach. An occasional blogger and speaker at conferences, his writings, talks, and contact information are available from sriramnarayan.com. The opinions in this book are his own.
The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide, with many more joining their ranks. This new third edition is aligned to cover all of the material in the most current version of the exam’s Common Body of Knowledge. All domains are covered as completely and concisely as possible, giving users the best possible chance of acing the exam.Completely updated for the most current version of the exam’s Common Body of KnowledgeProvides the only guide you need for last-minute studyingAnswers the toughest questions and highlights core topicsStreamlined for maximum efficiency of study, making it ideal for professionals updating their certification or for those taking the test for the first time
Through case studies, you’ll learn how successful enterprises have rethought everything from governance and financial management to systems architecture and organizational culture in the pursuit of radically improved performance. Adopting Lean will take time and commitment, but it’s vital for harnessing the cultural and technical forces that are accelerating the rate of innovation.Discover how Lean focuses on people and teamwork at every level, in contrast to traditional management practicesApproach problem-solving experimentally, by exploring solutions, testing assumptions, and getting feedback from real usersLead and manage large-scale programs in a way that empowers employees, increases the speed and quality of delivery, and lowers costsLearn how to implement ideas from the DevOps and Lean Startup movements even in complex, regulated environments
Each chapter contains hands-on examples and exercises that are designed to teach learners how to interpret results and utilize those results in later phases. Tool coverage includes: Backtrack Linux, Google reconnaissance, MetaGooFil, dig, Nmap, Nessus, Metasploit, Fast Track Autopwn, Netcat, and Hacker Defender rootkit. This is complemented by PowerPoint slides for use in class.
This book is an ideal resource for security consultants, beginning InfoSec professionals, and students.Each chapter contains hands-on examples and exercises that are designed to teach you how to interpret the results and utilize those results in later phases.Written by an author who works in the field as a Penetration Tester and who teaches Offensive Security, Penetration Testing, and Ethical Hacking, and Exploitation classes at Dakota State University.Utilizes the Kali Linux distribution and focuses on the seminal tools required to complete a penetration test.
"Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss:
How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes.
Important data warehouse technologies and practices.
Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouseDemystifies data vault modeling with beginning, intermediate, and advanced techniquesDiscusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.comDemystifies data mining concepts with easy to understand languageShows how to get up and running fast with 20 commonly used powerful techniques for predictive analysisExplains the process of using open source RapidMiner toolsDiscusses a simple 5 step process for implementing algorithms that can be used for performing predictive analyticsIncludes practical use cases and examples